Simulating urban expansion and its impact on functional connectivity in the Three Gorges Reservoir Area.

Understanding the impact of urban expansion on functional connectivity is significant to biodiversity conservation. Particularly, in the Three Gorges Reservoir Area (TGRA, Southwest China), the urban land has rapidly expanded to provide settlements for an enormous population of TGRA migrants. However, the consequence of future land-use changes to the functional connectivity of the local habitat network has rarely been studied. To extend this knowledge, this paper proposes a framework that integrates a novel cellular automata (CA) simulation model and ecological network analysis, taking the TGRA as the study area, to predict how different urban expansion scenarios might affect functional connectivity for a nationally protected species, the leopard. The least-cost path modeling is used, and a set of connectivity indicators are adopted to evaluate functional connectivity. The results show that, the population-growth-based urban expansion maintains a higher connectivity than the business-as-usual and fast-urban-growth scenarios. In addition, the connectivity loss due to urban expansion can be offset by the reforestation efforts of the Green-for-Grain Project. Finally, we identify habitat patches that act as key connectivity providers, and suggest that those patches be prioritized for protection to avoid significant connectivity loss.

[1]  Jianhua He,et al.  Updating the habitat conservation institution by prioritizing important connectivity and resilience providers outside , 2018 .

[2]  Robert S Schick,et al.  Graph models of habitat mosaics. , 2009, Ecology letters.

[3]  Santiago Saura,et al.  A new habitat availability index to integrate connectivity in landscape conservation planning : Comparison with existing indices and application to a case study , 2007 .

[4]  Erik Matthysen,et al.  The application of 'least-cost' modelling as a functional landscape model , 2003 .

[5]  M. Fortin,et al.  Integrating continuous stocks and flows into state‐and‐transition simulation models of landscape change , 2017 .

[6]  Viral B. Shah,et al.  Using circuit theory to model connectivity in ecology, evolution, and conservation. , 2008, Ecology.

[7]  Santiago Saura,et al.  Network analysis to assess landscape connectivity trends: application to European forests (1990–2000) , 2011 .

[8]  Andrew Fall,et al.  The sensitivity of least-cost habitat graphs to relative cost surface values , 2010, Landscape Ecology.

[9]  Fulong Wu,et al.  Calibration of stochastic cellular automata: the application to rural-urban land conversions , 2002, Int. J. Geogr. Inf. Sci..

[10]  Jianhui Huang,et al.  Three-Gorges Dam--Experiment in Habitat Fragmentation? , 2003, Science.

[11]  Santiago Saura,et al.  Do corridors promote connectivity for bird-dispersed trees? The case of Persea lingue in Chilean fragmented landscapes , 2014, Landscape Ecology.

[12]  J. Fattebert,et al.  Density-Dependent Natal Dispersal Patterns in a Leopard Population Recovering from Over-Harvest , 2015, PloS one.

[13]  Timothy H. Keitt,et al.  LANDSCAPE CONNECTIVITY: A GRAPH‐THEORETIC PERSPECTIVE , 2001 .

[14]  M. Fortin,et al.  EDITOR'S CHOICE: Stepping stones are crucial for species' long‐distance dispersal and range expansion through habitat networks , 2014 .

[15]  Xiaoping Liu,et al.  A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects , 2017 .

[16]  Atte Moilanen,et al.  Ecosystem services and connectivity in spatial conservation prioritization , 2016, Landscape Ecology.

[17]  Santiago Saura,et al.  Ranking individual habitat patches as connectivity providers: Integrating network analysis and patch removal experiments , 2010 .

[18]  S. Saura,et al.  Key connectors in protected forest area networks and the impact of highways: A transnational case study from the Cantabrian Range to the Western Alps (SW Europe) , 2011 .

[19]  Maile C. Neel,et al.  Patch connectivity and genetic diversity conservation in the federally endangered and narrowly endemic plant species Astragalus albens (Fabaceae) , 2008 .

[20]  B. Bierwagen Connectivity in urbanizing landscapes: The importance of habitat configuration, urban area size, and dispersal , 2007, Urban Ecosystems.

[21]  Robert L Pressey,et al.  Designing connected marine reserves in the face of global warming , 2018, Global change biology.

[22]  K. Hylander,et al.  The mechanisms causing extinction debts. , 2013, Trends in ecology & evolution.

[23]  Janneke HilleRisLambers,et al.  Seed Dispersal Near and Far: Patterns Across Temperate and Tropical Forests , 1999 .

[24]  M. Pärtel,et al.  Extinction debt: a challenge for biodiversity conservation. , 2009, Trends in ecology & evolution.

[25]  Santiago Saura,et al.  Conefor Sensinode 2.2: A software package for quantifying the importance of habitat patches for landscape connectivity , 2009, Environ. Model. Softw..

[26]  Anthony Gar-On Yeh,et al.  Neural-network-based cellular automata for simulating multiple land use changes using GIS , 2002, Int. J. Geogr. Inf. Sci..

[27]  Yuek Ming Ho,et al.  Improving the capability of an integrated CA-Markov model to simulate spatio-temporal urban growth trends using an Analytical Hierarchy Process and Frequency Ratio , 2017, Int. J. Appl. Earth Obs. Geoinformation.

[28]  Zhongming Lu,et al.  Urban expansion simulation and the spatio-temporal changes of ecosystem services, a case study in Atlanta Metropolitan area, USA. , 2018, The Science of the total environment.

[29]  Hualou Long,et al.  Land use and soil erosion in the upper reaches of the Yangtze River: some socio‐economic considerations on China's Grain‐for‐Green Programme , 2006 .

[30]  Michael Batty,et al.  From Cells to Cities , 1994 .

[31]  A. Olds,et al.  Prioritising seascape connectivity in conservation using network analysis , 2017 .

[32]  Alex Hagen,et al.  Fuzzy set approach to assessing similarity of categorical maps , 2003, Int. J. Geogr. Inf. Sci..

[33]  R. Gil Pontius,et al.  Modeling the spatial pattern of land-use change with GEOMOD2: application and validation for Costa Rica , 2001 .

[34]  L. Fahrig,et al.  Connectivity is a vital element of landscape structure , 1993 .

[35]  Philip Leitner,et al.  Multiscale connectivity and graph theory highlight critical areas for conservation under climate change. , 2016, Ecological applications : a publication of the Ecological Society of America.

[36]  Denis White,et al.  ALTERNATIVE FUTURES FOR THE WILLAMETTE RIVER BASIN, OREGON , 2004 .

[37]  Santiago Saura,et al.  A common currency for the different ways in which patches and links can contribute to habitat availability and connectivity in the landscape , 2010 .

[38]  Xia Li,et al.  Modelling sustainable urban development by the integration of constrained cellular automata and GIS , 2000, Int. J. Geogr. Inf. Sci..

[39]  Itzhak Benenson,et al.  The connectivity of Haifa urban open space network , 2016 .

[40]  K. Seto,et al.  Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools , 2012, Proceedings of the National Academy of Sciences.

[41]  Xiaoping Liu,et al.  Embedding sustainable development strategies in agent‐based models for use as a planning tool , 2008, Int. J. Geogr. Inf. Sci..

[42]  PETER H. VERBURG,et al.  Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model , 2002, Environmental management.

[43]  Patrick L. Thompson,et al.  Loss of habitat and connectivity erodes species diversity, ecosystem functioning, and stability in metacommunity networks , 2017 .

[44]  Paul Beier,et al.  Circuit theory predicts gene flow in plant and animal populations , 2007, Proceedings of the National Academy of Sciences.

[45]  Jianhua He,et al.  An ex-post evaluation approach to assess the impacts of accomplished urban structure shift on landscape connectivity. , 2018, The Science of the total environment.

[46]  Michael Veith,et al.  Biodiversity in cities needs space: a meta-analysis of factors determining intra-urban biodiversity variation. , 2015, Ecology letters.

[47]  A. Bregt,et al.  Revisiting Kappa to account for change in the accuracy assessment of land-use change models , 2011 .

[48]  S. Jackson,et al.  Balancing biodiversity in a changing environment: extinction debt, immigration credit and species turnover. , 2010, Trends in ecology & evolution.

[49]  P. Sunde,et al.  Tolerance to humans of resting lynxes Lynx lynx in a hunted population , 1998, Wildlife Biology.

[50]  David M. Theobald,et al.  Connectivity Conservation: Exploring the functional connectivity of landscapes using landscape networks , 2006 .